Cluster Computing and the Grid, IEEE International Symposium on (2006)
May 16, 2006 to May 19, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2006.2
Benjamin Khoo Boon Tat , National University of Singapore
Bharadwaj Veeravalli , National University of Singapore
Terence Hung , Institute of High Performance Computing
Simon See Chong Wee , Sun Microsystems
In this paper, we propose a novel resource scheduling strategy, referred to as the Multi-Resource Scheduling (MRS) algorithm, which is capable of handling several resources to be used among jobs that arrive at a Grid Computing Environment. We propose a model in which the job and resource characteristics are captured together and are used in the scheduling strategy. To do so, we introduce the concept of virtual map and resource potential. Based on the proposed model, simulations with realistic workload traces were conducted to quantify the performance. We compare our strategy with some of the commonly used algorithms, and show that MRS renders a higher performance in all cases. Our experimental results clearly show that MRS outperforms other strategies and we highlight the impact and importance of our strategy.
T. Hung, S. S. Wee, B. Veeravalli and B. K. Tat, "A Co-ordinate Based Resource Allocation Strategy for Grid Environments," Cluster Computing and the Grid, IEEE International Symposium on(CCGRID), Singapore, 2006, pp. 561-567.